These are my goals for each month.
September: Download and familiarize myself with mathematica, the program I will be using to conduct my experiment. Also, visit Dartmouth and meet my mentor in person to discuss my project goals. October: Gather information about El Niño. Learn more about air pressure, water temperature, and the effects El Niño has on the weather throughout the world. November: Start gathering data. Collect data all the way back from the 1800s about ENSO each year. December: Continue gathering data. January: Put all the data into mathematica. Create functions and graphs which make the data easier to analyze. February: Look for trends and try to figure out the data. This might take a while. March: Still working on figuring out the data. Hopefully by March I found something within the data. April: Work on my final presentation. May: Finalize my final presentation.
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I have always been interested in math and the various ways it connects to the real world. I always found math class interesting in school, but I was eager to learn practical applications for all the math I was learning. I talked to my family about this, since I have many mathematicians in my family, including my older brother. I decided last spring that the perfect way to learn more about the practical applications of math would be through a signature project. I reached out to the math department at Dartmouth which connected me with my current mentor, Kate. Kate talked to me about many different projects she was working on which all sounded very interesting. In the end, the project we decided to work on was analyzing weather patterns through data using a program called Mathmatica. We are starting off by looking at data of El Niño Southern Oscillation (ENSO). ENSO is an irregularly periodical variation in sea surface temperature, air pressure, and wind pressure over the tropical eastern Pacific Ocean. ENSO affects global warming, rainfall in various locations and can even trigger huge events such as the many hurricanes we have experiences this year. So far, there is not an effective way to predict ENSO in the future. Hopefully with the help of my mentor, I will be able to find a connection in order to predict ENSO in the following years which will give us much insight on the coming weather patterns throughout the world.
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